classifier.dev docs

classifier.dev documentation as tools: list, read and search the reference, benchmark and guides.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
95%
命名质量
100%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~838token 数(工具定义)
~1.2 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.65%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "docs": {
      "url": "https://classifier.dev/mcp/docs"
    }
  }
}

远程端点

https://classifier.dev/mcp/docsstreamable-http

它能做什么

工具清单

工具(4)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢list_docs(filter)

List every classifier.dev document available over this server — the API reference, the benchmark, the agent skill, the CLI, pricing, privacy, terms and the MCP setup guide — with an id, a title, its section headings and its size. Call this first, then read_doc for the one you need.

输入模式

{
  "type": "object",
  "properties": {
    "filter": {
      "type": "string",
      "maxLength": 100,
      "description": "Optional: only documents whose id, title or section headings contain this text (case-insensitive)."
    }
  },
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "docs": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": "string"
          },
          "sections": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "chars": {
            "type": "integer"
          }
        },
        "required": [
          "id",
          "title",
          "url"
        ]
      }
    }
  },
  "required": [
    "docs"
  ]
}
🟢read_doc(id, section)

Return one document in full, or just one of its sections. ids: api, developers, mcp-setup, benchmark, skill, llms, pricing, auth, agents, privacy, terms, about, contact. Use section to fetch a single heading (case-insensitive prefix match) when the whole document is more than you need.

输入模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "enum": [
        "api",
        "developers",
        "mcp-setup",
        "benchmark",
        "skill",
        "llms",
        "pricing",
        "auth",
        "agents",
        "privacy",
        "terms",
        "about",
        "contact"
      ],
      "description": "Which document."
    },
    "section": {
      "type": "string",
      "description": "Optional heading to return on its own, e.g. \"limits\" or \"parameters\"."
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}
🟢search_docs(query, limit)

Full-text search across every classifier.dev document. Returns the paragraphs that contain all of your query's words, with the document and section each came from. Use it for a specific question — rate limits, how confidence is calibrated, how to connect from Claude or ChatGPT — instead of reading whole documents.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 2,
      "maxLength": 200,
      "description": "Words to look for; all must appear in a paragraph."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_examples(client, multi_label)

Return a copy-pasteable example of calling classifier.dev from a given client: curl, javascript (fetch), python (requests), the classify CLI, or an MCP tools/call payload. Use this when you are about to write integration code and want the exact request shape rather than reading the whole reference.

输入模式

{
  "type": "object",
  "properties": {
    "client": {
      "type": "string",
      "enum": [
        "curl",
        "javascript",
        "python",
        "cli",
        "mcp"
      ],
      "description": "Which client to show."
    },
    "multi_label": {
      "type": "boolean",
      "default": false,
      "description": "Show the multi-label form (every label that applies) instead of single-label."
    }
  },
  "required": [
    "client"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "client": {
      "type": "string"
    },
    "code": {
      "type": "string"
    },
    "notes": {
      "type": "string"
    }
  },
  "required": [
    "client",
    "code"
  ]
}

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已验证未记录版本4 个工具
已验证未记录版本4 个工具